Applied Data Scientist.
Excellent Salary Plus Benefits.
Midlands / Hybrid / Remote.
Negotiable Salary Depending On Experience.
Were now looking for a talented Applied Data Scientist to support the next phase of AI-enabled digital product suite.
This is an opportunity to design, develop and deliver intelligent, data-driven services that are simpler, clearer and faster and that genuinely meet user needs at national scale.
Youll play a key role in exploring complex datasets, building production-ready machine learning and generative AI solutions, and working closely with multidisciplinary teams to translate real user problems into impactful AI capabilities.
Key Responsibilities Include
- Exploring, analysing and interpreting large, complex and diverse datasets to uncover insights and opportunities for AI-driven improvement.
- Designing, building, evaluating and optimising machine learning, deep learning and generative AI models for real-world service applications.
- Collaborating with engineers, product managers, designers and policy stakeholders to translate user needs into scalable AI solutions.
- Contributing to AI-enabled capabilities such as intelligent automation, natural language understanding, prediction and decision support.
- Ensuring responsible, ethical and secure use of AI and data aligned with governance, privacy and public sector standards.
- Communicating technical findings, model behaviour and limitations clearly to both technical and non-technical audiences.
- Supporting experimentation, evaluation and continuous improvement of AI systems in production environments.
- Staying current with emerging AI research, tooling, model capabilities and best practice.
Experience & Skills
- Strong proficiency in Python for data science, machine learning and AI development.
- Experience developing and deploying machine learning or deep learning models.
- Knowledge of natural language processing, transformers or generative AI techniques.
- Solid grounding in statistics, probability and experimental design.
- Experience working with large datasets using SQL or cloud data platforms.
- Ability to explain complex AI concepts to diverse technical and non-technical stakeholders.
- Experience collaborating within multidisciplinary digital or product teams.
- Clear commitment to ethical, transparent and responsible AI development.
- Comfort working in fast-moving, evolving and sometimes ambiguous environments.
Desirable (but Not Essential)
- Experience working with large language models via APIs or open-source frameworks.
- Fine-tuning or evaluating generative AI systems.
- Knowledge of MLOps, monitoring and lifecycle management.
- Experience with cloud AI/ML services and scalable data platforms.
- Exposure to reinforcement learning, graph machine learning or advanced deep learning techniques.
- Data visualisation or decision-intelligence tooling experience.
- Experience within government, public sector or other regulated environments.
- Mentoring colleagues or supporting wider AI capability development.
This is a unique opportunity to shape how AI is applied across the organisation and help shape the business AI journey.
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